Sökning: "Advanced driver assistance systems"

Visar resultat 11 - 15 av 57 uppsatser innehållade orden Advanced driver assistance systems.

1. 11. Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Jawaria Asghar; [2021]
   Nyckelord :autonomous car; ego-vehicle; road geometry; estimation; Advanced Driver Assistance Systems; sensor fusion; Unscented Kalman Filter.;

   Sammanfattning : For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. LÄS MER

3. 12. Vehicle Path Prediction Using Recurrent Neural Network

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Mim Kemal Tekin; [2020]
   Nyckelord :computer vision; autonomous driving; deep learning; uncertainty in deep learning;

   Sammanfattning : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. LÄS MER

4. 13. Exploring Augmented Reality for enhancing ADAS and Remote Driving through 5G : Study of applying augmented reality to improve safety in ADAS and remote driving use cases

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Max Jan Meijer; [2020]
   Nyckelord :Augmented-reality; 5G; Advanced driver-assistance systems; Vehicle-to-vehicle; Vehicle-to-everything; Remote-driving; Eye-tracking; Internet-of-Things; Gaze;

   Sammanfattning : This thesis consists of two projects focusing on how 5G can be used to make vehicles safer. The first project focuses on conceptualizing near-future use cases of how Advanced Driver Assistance Systems (ADAS) can be enhanced through 5G technology. Four concepts were developed in collaboration with various industry partners. LÄS MER

5. 14. Supporting personalisation of ADAS through driver characteristics - a design science study

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Filip Walldén; Simon Löfving; Boyan Dai; [2019-11-18]
   Nyckelord :Driver Characteristics; ADAS; Requirements Engineering;

   Sammanfattning : The identification of driver characteristics is an important step to allow the adaptation of Advanced Driver Assistance Systems (ADAS) to individual driver needs, and thus increase system performance and trust in the system function. However, most ADAS are designed for the average driver and we investigated which driving characteristics are relevant for personalised features, and how to derive them using Requirement elicitation. LÄS MER

7. 15. Development of Active Rear Wheel Steering and Evaluation of Steering Feel

   Master-uppsats, KTH/Fordonsdesign

   Författare :Suvansh Kasliwal; [2019]
   Nyckelord :;

   Sammanfattning : In the last few years, with the development of sensor and actuator technology along with increased computation power available on-board of vehicles, the automotive industry is em-ploying more and more mechatronic systems for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD). Driver Assistance Systems are being used to increase safety (eg. LÄS MER